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Language peer sets for GaussFit:
United States
United States/1986
Designed 1986
1980s languages
Fifth generation
Late Cold War

GaussFit(ID:1302/)

alternate simple view
Country: United States
Designed 1986
Published: 1986


Astronomic-related programming language for solving least squares and robust estimation problems

Developed for use in the Hubble Space Telescope, where more conventional systems like Reduce would be difficult to integrate with the rest of the software suites. Features the observation type, which features error recording etc.

Significantly, it played a part in fixing the error in the HST's main telescope (refer Jeffreys 1998)


References:
  • William Jefferys, Barbara McArthur,James McCartney (1987) William Jefferys, Barbara McArthur,James McCartney "GaussFit: A System for Least Squares and Robust Estimation" The University of Texas at Austin, 1987 Abstract Extract: Functional operation
  • Jefferys, W. H., Fitzpatrick, M. J., & McArthur, B (1988) Jefferys, W. H., Fitzpatrick, M. J., & McArthur, B. E. "GaussFit - a System for Least Squares and Robust Estimation" Celestial Mechanics, Vol. 41, 1988 p.39 Abstract Extract: Introduction Extract: Models in GaussFit
  • Jefferys, W. H.; Fitzpatrick, M.J.; McArthur B.E. (1988) Jefferys, W. H.; Fitzpatrick, M.J.; McArthur B.E. and McCartney, J.E. "GaussFit: A System for Least Squares and Robust Estimation", User's Manual, Department of Astronomy and McDonald Observatory, University of Texas, Austin, Texas, 1988
  • Jefferys, W. et al (1994) Jefferys, W. et al "Optical field angle distortion calibration of FGS3" in Calibrating Hubble Space Telescope, pp353-373 Space Telescope Science Institute, Baltimore, MD, 1994.
  • Kohl, JL (1994) Kohl, JL "GAUSSFIT: A Simple Way for Robust Estimate" XIXth Meeting of the Brazilian Astronomical Society, 1994
  • Jefferys, William H. (1998) Jefferys, William H. "Calibration of the Hubble Space Telescope Fine Guidance Sensors: An Application of Seminal Ideas of H.K. Eichhorn" May 11, 1998 Abstract Extract: Introduction Extract: Some Statistical Considerations
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